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Tony Moukbel
Tony Moukbel
Multi-Talented Innovator | 13 Innovations & 4 Patents | Cyber Security Expert | IT & Ai Engineering | 58 Certifications in Cybersecurity, Forensics, Programming & Electronics Dev.
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View Maverick Maltin’s profile
Maverick Maltin
• 3rd+
I make AI ridiculously simple.
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4d •
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Google launched their answer to Claude and ChatGPT agents.
It’s better than you think.
It’s a 24/7 personal agent that handles full tasks from start to finish.
The difference is it doesn’t stop and ask what to do next.
It reads your emails, checks your calendar, audits your files, and gets things done while you focus on something else.
Here’s 6 ways Google’s own team is already using it:
✦ Project Tracker Auditor
Cross-references your meeting notes with project trackers.
Flags outdated information and missing items before they become problems.
✦ Newsletter Aggregator
Scans your Gmail for newsletters, extracts the high value links, researches them, and compiles everything into a structured daily summary.
✦ Brand Health Auditor
Pulls a weekly summary of key themes from your Google Maps reviews and YouTube comments.
You stop manually reading feedback and start acting on patterns.
✦ Sales Negotiation Coach
Drafts emails that counter discount requests using enterprise sales strategies.
Identifies buyer constraints and protects contract value before you hit send.
✦ Drive Organizer
Audits your Google Drive for misplaced files and reorganizes them in batches.
Nothing moves without your approval.
✦ Client Meeting Prep
Searches your calendar, emails, and documents for context.
Drafts a tactical meeting agenda and drops it straight into your Google Docs.
Gemini Spark is in beta now for Google AI Ultra subscribers in the US.
Save this and pick one to run this week.
♻️ Repost if your network is still doing these tasks manually.
Follow Maverick Maltin for AI tools, prompts, and workflows that actually work.
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View Kayvon Jafarzadeh’s profile
Kayvon Jafarzadeh Premium Profile 3rd+Kayvon Jafarzadeh • 3rd+
How to (actually) use AI.
4d
i had something like forty newsletters piling up unread and a graveyard of saved links i was never going to open. handing that whole reading pile to ai to pull the few things actually worth my time into one morning summary quietly gave me back a chunk of every day. that’s the use case i’d turn loose first, because nothing breaks if it summarizes something a bit wrong. the ones that touch real decisions though, like the sales and meeting drafts, i’d still keep my hands on… more
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View Timilehin Adeyemi’s profile
Timilehin Adeyemi Premium Profile 3rd+Timilehin Adeyemi • 3rd+
AI Automation & Software Engineer | Energy Systems MSc | Intelligent Systems for Business & Renewable Energy | Open to Projects
4d
This is where AI is heading—from answering questions to executing complete workflows. The biggest shift isn’t just more capable models; it’s autonomous agents that can reason, use tools, and collaborate across your workspace while keeping humans in control. Exciting times ahead for businesses that adopt AI strategically.
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View Maverick Maltin’s profile
Maverick Maltin
Author
I make AI ridiculously simple.
3d
Timilehin Adeyemi the shift from answering to executing is the right frame. the bottleneck now isn’t capability, it’s trust. most teams won’t hand an agent real workflow access until they’ve seen it fail safely a few times first. that trust-building phase is where most adoption stalls.
View company: Unikove Technologies
Unikove Technologies
2,953 followers
2d
The Project Tracker Auditor use case is the one that would actually save us time. Most meeting note follow up is where things quietly slip through.
11
View Maverick Maltin’s profile
Maverick Maltin
Author
I make AI ridiculously simple.
2d
Unikove Technologies that one pays for itself in the first week. the follow-up gap is where most project momentum dies.
View Andrea Tarzariol’s profile
Andrea Tarzariol Verified Profile 3rd+Andrea Tarzariol • 3rd+
Senior Engineering Manager | Creator of TL;DW | Practical AI & Dev Tools Signal for Engineering Leaders
23h
The feature that interests me most isn’t email or scheduling it’s crossapplication context. If agents can safely understand work across documents, meetings, and communications, does the future interface become workflows instead of individual apps? Curious how others see this evolving
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